Abstract
Today, the accelerated development of industry 4.0 and the immersion of technologies with the DMAIC methodology, Lean Manufacturing allows higher productivity and continuous improvement of industrial processes. There are countless manufacturing companies, of which very few have invested in technology and methodologies, so they have not been able to prepare themselves to advance at the same pace as the industrial revolution. This research proposes to include improvements in the manufacture of furniture by applying software tools and methodologies such as DMAIC, which consists of combining the application of some tools such as Lean, visual management, and standardized work. As a case study, we applied to the manufacture of furniture; the results indicated that by applying DMAIC and simulation tools, a significant increase in production was achieved, with a decrease in delivery time, in addition to the optimization and reduction of waste. This research can serve as a reference for future studies related to manufacturing processes when applying DMAIC, Lean Manufacturing, and simulation software.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
10.17632/69wsz4p8n9.1.
References
Carvajal, C.Y., Granda, L.S., Villamar, I.B., Hermida, L.H.: La importancia de las PYMES en el Ecuador. Rev. Obs. la Econ. Latinoam. (232) (2017)
Choudhary, A.K., Harding, J.A., Tiwari, M.K., Shankar, R.: Knowledge management based collaboration moderator services to support SMEs in virtual organizations. Prod. Plan. Control. 30, 951–970 (2019)
Negrão, L., de Sousa Jabbour, A.L., Latan, H., Godinho Filho, M., Jabbour, C.C., Ganga, G.: Lean manufacturing and business performance: testing the S-curve theory. Prod. Plan. Control. 31(10), 771–785 (2020)
Henao, R., Sarache, W., Gómez, I.: Lean manufacturing and sustainable performance: trends and future challenges. J. Clean. Prod. 208, 99–116 (2019)
Kęsek, M., Bogacz, P., Migza, M.: The application of lean management and six sigma tools in global mining enterprises. In: Conference Series: Earth and Environmental Science, p. 012090 (2019)
Abualsaud, A.S., Alhosani, A.A., Mohamad, A.Y., Al Eid, F.N., Alsyouf, I.: Using six sigma DMAIC methodology to develop a facility layout for a new production line. In: International Conference on Modeling Simulation and Applied Optimization, pp. 1–5 (2019)
Kiatcharoenpol, T., Seeluang, R.: Six sigma methodology for reducing warpage defect of sanitary ware production. In: International Conference on Mechanical and Intelligent Manufacturing Technologies, pp. 104–108 (2019)
Pan American Health Organization (PAHO): WHO characterizes COVID-19 as a pandemic. https://www.paho.org/
Gallo, G., Trompetto, M.: The effects of COVID-19 on academic activities and surgical education in Italy. J. Investig. Surg. 33(7), 687–689 (2020)
Fu, S., Li, Z., Liu, K., Din, S., Imran, M., Yang, X.: Model compression for IoT applications in industry 4.0 via multi-scale knowledge transfer. IEEE Trans. Ind. Inform. 16(9), 6013–6022 (2019)
Dewi, M.V.K., Darma, G.S.: The role of marketing and competitive intelligence in industrial revolution 4.0. J. Manaj. Bisnis. 16, 1–12 (2019)
Cakmakci, M.: Interaction in project management approach within industry 4.0. In: Advances in Manufacturing II, pp. 176–189. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18715-6_15
Annarelli, A., Battistella, C., Nonino, F.: Product Service Systems’ Competitive Markets. Springer, Cham (2019)
Agarwal, R., Brown, P.J., Bajada, C., Stevens, P., Green, R.: The effects of competition on management practices in New Zealand–a study of manufacturing firms. Int. J. Prod. Res. 1–18 (2019). https://doi.org/10.1080/00207543.2019.1672901
Farfan-Quintanilla, Z., Caira-Jimenez, M., Sotelo-Raffo, F., Raymundo-Ibañez, C., Perez, M.: Applying SLP in a lean manufacturing model to improve productivity of furniture SME. In: International Conference on Intelligent Human Systems Integration, pp. 690–696. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-39512-4_106
Rentes, V.C., de Pádua, S.I.D., Coelho, E.B., Cintra, M.A.D.C.T., Ilana, G.G.F., Rozenfeld, H.: Implementation of a strategic planning process oriented towards promoting business process management (BPM) at a clinical research centre (CRC). Bus. Process Manage. J. 25(4), 707–737 (2019)
Filbeck, G., Krueger, T.M.: An analysis of working capital management results across industries. Am. J. Bus. 20(2), 11–18 (2005)
Socconini, L.: Lean Company. Más allá de la manufactura. Marge Books (2019)
Sangani, R., Kottur, V.K.N.: Enhancement in productivity by integration of 5S methodology and time and motion study. In: International Conference on Intelligent Manufacturing and Automation, pp. 541–550. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-2490-1_50
Shakil, S.I., Parvez, M.: Application of value stream mapping (VSM) in a sewing line for improving overall equipment effectiveness (OEE). In: Intelligent Manufacturing and Energy Sustainability. p. 249 (2019). https://doi.org/10.1007/978-981-15-1616-0_24
Abhilash, C.R., Thakkar, J.J.: Application of six sigma DMAIC methodology to reduce the defects in a telecommunication cabinet door manufacturing process. Int. J. Qual. Reliab. Manag. 36(9), 1540–1555 (2019)
Santos, M.Y., e Sá, J.O., Andrade, C., Lima, F.V., Costa, E., Costa, C., Galvão, J.: A big data system supporting Bosch braga industry 4.0 strategy. Int. J. Inf. Manage. 37, 750–760 (2017)
FlexSim: 3D simulation modeling and analysis software. https://www.flexsim.com/es/
Abu, F., Gholami, H., Saman, M.Z.M., Zakuan, N., Streimikiene, D.: The implementation of lean manufacturing in the furniture industry: a review and analysis on the motives, barriers, challenges, and the applications. J. Clean. Prod. 234, 660–680 (2019)
Liliana, L.: A new model of Ishikawa diagram for quality assessment. Conf. Ser. Mater. Sci. Eng. 161, 012099 (2016)
Acknowledgment
The authors thank Universidad de Las Américas, Ecuador, for funding this research through the project FGE.PAV.19.11.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Acosta-Vargas, P., Chicaiza-Salgado, E., Acosta-Vargas, I., Salvador-Ullauri, L., Gonzalez, M. (2021). Towards Industry Improvement in Manufacturing with DMAIC. In: Botto-Tobar, M., Zamora, W., Larrea Plúa, J., Bazurto Roldan, J., Santamaría Philco, A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_28
Download citation
DOI: https://doi.org/10.1007/978-3-030-59194-6_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-59193-9
Online ISBN: 978-3-030-59194-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)